Prototype of wheelchair commanded by voice using HMM in a controlled environment

This article presents the development of a recognition system of speaker independent isolated words to command a wheelchair. Each word is encoded using techniques of Linear Prediction and Real Cepstrum, while the classification step is performed using Hidden Markov Models (HMM). From the results, co...

Повний опис

Бібліографічні деталі
Автори:	Higuera-Martínez, Óscar Iván, Espitia-Flórez, Helberth Yesid, Méndez-Medina, Diego
Формат:	Online
Мова:	spa
Опубліковано:	Universidad Pedagógica y Tecnológica de Colombia - UPTC 2017
Предмети:	hidden markov models speech processing linear prediction cepstrum modelos Ocultos de markov procesamiento de voz predicción lineal Cepstrum
Онлайн доступ:	https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/5121

Опис
Резюме:	This article presents the development of a recognition system of speaker independent isolated words to command a wheelchair. Each word is encoded using techniques of Linear Prediction and Real Cepstrum, while the classification step is performed using Hidden Markov Models (HMM). From the results, commands are generated to a mobile system (wheelchair), which is led in a controlled environment.